{"id":"W3202357034","doi":"10.1080/10920277.2021.1956975","title":"Tail Moments of Compound Distributions","year":2021,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Moment (physics); Mathematics; Multivariate statistics; Variance (accounting); Class (philosophy); Simple (philosophy); Distribution (mathematics); Second moment of area; Statistics; Applied mathematics; Conditional expectation; Econometrics; Mathematical analysis; Statistical physics; Physics; Computer science; Economics; Quantum mechanics; Geometry; Accounting","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067103,0.0001213058,0.00044144,0.0001205958,0.0003278015,0.0002404785,0.0006236344,0.00003047263,0.0005789133],"category_scores_gemma":[0.002361509,0.00008737624,0.0002325822,0.001237357,0.0005269441,0.0003105622,0.0001529256,0.0003604658,0.00006891784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008325847,"about_ca_system_score_gemma":0.000650527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006295734,"about_ca_topic_score_gemma":0.0003720728,"domain_scores_codex":[0.9968075,0.0003871701,0.000874172,0.0002810759,0.001350601,0.0002994396],"domain_scores_gemma":[0.9970702,0.0006016477,0.000706723,0.0004590666,0.0008848638,0.0002775027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004354121,0.001238614,0.5715213,0.000005929685,0.0002790961,0.0002859411,0.002035516,0.003524172,0.001501104,0.002657147,0.0209641,0.3955517],"study_design_scores_gemma":[0.002499979,0.0006914223,0.7943919,0.00003180842,0.0001323514,0.001061978,0.003300963,0.001435642,0.002656663,0.1092527,0.08390141,0.00064317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592819,0.00005377252,0.03745855,0.001326823,0.0007173718,0.00005428122,0.00014293,0.00001026249,0.000954104],"genre_scores_gemma":[0.996717,0.0000670302,0.00263166,0.0001481087,0.0002186687,0.000001311229,0.00001377108,0.000005447876,0.0001970424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949085,"threshold_uncertainty_score":0.6338695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08264021444622872,"score_gpt":0.3672894557560663,"score_spread":0.2846492413098376,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}